Cryptanalysis of an image encryption algorithm based on PWLCM and inertial delayed neural network

Abstract

© 2018 - IOS Press and the authors. All rights reserved. Recently, a color image encryption algorithm is suggested by Lakshmanan et al. in [IEEE Transactions on Neural Networks and Learning Systems 2016, doi: 10.1109/TNNLS.2016.2619345]. In encryption algorithm, a piece-wise linear chaotic map is adopted to create a permutation matrix to perform shuffling of pixels of plain-image. The encryption of shuffled image is proceeded by extracting keystreams from chaotic inertial delayed neural network. This paper evaluates the security of encryption algorithm to unveil its inherent defects and proposes to present a complete cryptanalysis. To demonstrate the break of algorithm, we apply proposed chosen-plaintext attack that successfully recovers the exact plain-image from encrypted image without secret key. The proposed cryptanalysis shows that the encryption algorithm is inapt to realize a secure communication, the security claims by authors are not valid as the algorithm has serious security flaws and susceptible to proposed attack.